决定异体 CAR T 细胞排斥与扩增的细胞和分子机制
Cellular and molecular mechanisms determining allogeneic CAR T cell rejection and expansion.
我们评估了11例接受单一批次cemacabtagene ansegedleucel(cema-cel)治疗的大B细胞淋巴瘤患者,cemacabtagene ansegedleucel是一种异体抗CD19 CAR T产品。
英文原题:Diffuse Large B-Cell Lymphoma: From Molecular Stratification to Precision Immunotherapy.
Diffuse Large B-Cell Lymphoma: From Molecular Stratification to Precision Immunotherapy.
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这些进展支持从以 COO 为中心的分类转向动态的、生物学驱动的模型,这些模型整合肿瘤内在和微环境决定因素,以指导 DLBCL 的个体化治疗。
弥漫性大B细胞淋巴瘤(DLBCL)是一种生物学上异质性较强的成熟B细胞肿瘤,其分类、预后和治疗已被基因组学、转录组学、表观基因组学、单细胞和空间分析技术的进步所重塑。本综述聚焦于这些方法如何细化DLBCL的分子图谱,包括复发性染色体易位、肿瘤抑制因子改变、致癌信号通路和肿瘤微环境程序。细胞起源(COO)框架在临床上仍然有用。然而,当代模型通过纳入概率性遗传亚型、表达定义的高危状态以及空间解析的淋巴瘤细胞和免疫细胞生态系统,超越了传统的生发中心分类。这些高分辨率方法阐明了肿瘤内异质性,识别了生物学上不同的亚组,并为预后和治疗选择提供信息。本综述还总结了肿瘤内在生物学和肿瘤微环境(TME)如何影响对一线治疗、靶向药物、抗体-药物偶联物、双特异性抗体和CD19导向的CAR-T 细胞疗法的反应。特别强调复发/难治性疾病中产品特异性证据、免疫疗法的合理序贯以及新兴生物标志物如基于循环肿瘤DNA的可测量残留病(ctDNA-MRD)。总之,这些进展支持从以COO为中心的分类转向动态的、生物学驱动的模型,该模型纳入肿瘤内在和微环境决定因素,以指导DLBCL的个性化治疗。
Diffuse large B-cell lymphoma (DLBCL) is a biologically heterogeneous mature B-cell neoplasm whose classification, prognosis, and therapy have been reshaped by advances in genomic, transcriptomic, epigenomic, single-cell, and spatial profiling technologies. This review focuses on how these approaches have refined the molecular landscape of DLBCL, including recurrent chromosomal translocations, tumor-suppressor alterations, oncogenic signaling pathways, and tumor-microenvironment programs. Cell-of-origin (COO) frameworks remain clinically useful. However, contemporary models extend beyond conventional germinal center categories by incorporating probabilistic genetic subtypes, expression-defined high-risk states, and spatially resolved lymphoma-cell and immune-cell ecosystems. These high-resolution methods clarify intratumoral heterogeneity, identify biologically distinct subgroups, and inform prognosis and therapeutic selection. The review also summarizes how tumor-intrinsic biology and the tumor-microenvironment (TME) shape responses to frontline therapy, targeted agents, antibody-drug conjugates, bispecific antibodies, and CD19-directed CAR T-cell therapy. Particular emphasis is placed on product-specific evidence in relapsed/refractory disease, rational sequencing of immunotherapies, and emerging biomarkers such as circulating tumor DNA-based measurable residual disease (ctDNA-MRD). Together, these developments support a shift from COO-centric classification toward dynamic, biology-driven models that incorporate tumor-intrinsic and microenvironmental determinants to guide personalized therapy in DLBCL.
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